Data Scientist, Robert Half

Robert Half

Location:
United States, Columbus

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We are looking for a highly skilled Data Scientist to join our Enterprise Data and Analytics team on a long-term contract basis. In this role, you will apply advanced machine learning techniques and statistical analysis to large datasets, helping us better understand our customers and communities. The ideal candidate will have a passion for transforming data into actionable insights that support strategic decision-making and business growth.

Job Responsibility:

Design and implement advanced analytics models to derive value from large-scale datasets
Conduct experiments and develop predictive models to address complex business challenges
Research and apply cutting-edge machine learning, deep learning, and AI methodologies
Develop and refine algorithms for training and evolving machine learning models
Present data-driven insights and recommendations to influence product development and strategy
Promote best practices in analytics and data utilization across teams
Manage the end-to-end model development process, including requirement gathering, data sourcing, model building, result presentation, and production implementation
Collaborate with cross-functional teams to drive data science initiatives and improve analytical capabilities
Ensure the organization’s data infrastructure supports robust analytics and reporting
Stay updated on emerging technologies and trends in data science and machine learning.

Requirements:

Strong proficiency with machine learning tools such as TensorFlow, scikit-learn, and caret
Expertise in predictive modeling and statistical methodologies, including linear regression and Bayesian inference
Experience working with structured and unstructured data sources
Proficiency in programming languages such as Python and R, as well as cloud-based machine learning platforms like AWS SageMaker
Ability to communicate complex technical concepts to both technical and non-technical audiences
Proven ability to work independently and collaboratively in a team environment, managing multiple priorities and deadlines
Demonstrated intellectual curiosity and strategic thinking with a focus on actionable outcomes
Preferred background in financial services and familiarity with SQL and NoSQL databases.

Nice to have:

Preferred background in financial services
Familiarity with SQL and NoSQL databases.

What we offer:

Medical insurance
Vision insurance
Dental insurance
Life and disability insurance
Access to 401(k) plan.

Additional Information:

Job Posted:
November 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Scientist